Giovanni Seni is an active data mining practitioner in Silicon Valley; he has over 15 years R&D experience in statistical pattern recognition, data mining, and human-computer interaction applications. He has been a member of the technical staff at large technology companies, and a contributor at smaller organizations. He holds five US patents and has published over twenty conference and journal articles
Giovanni received a B.S. in
Computer Engineering from Universidad de
Los Andes (Bogotá, Colombia) in 1989, and a Ph.D. in Computer Science from
State University of New York at Buffalo (SUNY
Buffalo) in 1995, where he studied on a Fulbright scholarship. He also holds
a certificate in Data Mining and Applications from the Department of Statistics
at Stanford University.
His book with John Elder, Ensemble Methods in Data Mining: Improving accuracy through combining predictions, was published in February 2010 by Morgan & Claypool.